Wind turbine extreme gust control

Kanev, Stoyan; Engelen, T. Van

doi:10.1002/we.338

Cited by 53 publications

(35 citation statements)

References 7 publications

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“…The obtained results showed that the wind velocity gust amplitude indicated a good agreement with the recommended ECD value of 15 m/s when it occurred simultaneously with a wind direction change. Kanev et al focused on the problem of extreme wind gust and direction change recognition and extreme event control, based on the structural dynamic system (Kanev et al, 2010). They can prevent the rotor speed from exceeding the over-speed limit by the fast collective blade pitching.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of load fluctuation on horizontal axis wind turbine for extreme wind direction change

Sang

Murata

Morimoto

et al. 2017

JFST

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The operating conditions of Horizontal Axis Wind Turbine (HAWT) are extremely complex in natural surroundings. One of the wind conditions is called extreme wind direction change which has been specified in the International Electrotechnical Commission (IEC) 61400-1 standard. External conditions can generate extreme loads which may affect the power coefficient and the lifetime of HAWTs. This paper attempted to compile the evaluation of the aerodynamic forces acting on a small HAWT under extreme wind direction change condition in the wind tunnel experiments. An Avistar airfoil is used for the two-bladed and three-bladed wind turbines. This study is intended to clarify the load fluctuation when sudden wind direction change reacts to two-bladed and three-bladed wind turbines. A vane system is used to generate the wind direction change. A 6-component balance is used to measure the forces and the moments acting on the entire wind turbine in the three directions of x, y and z-axes. The results show that when the extreme wind direction change is generated, the yaw moment fluctuation amplitude of two-bladed wind turbine is about 39% larger than that of the three-bladed one. The strong dependence of the inflow timing of the wind direction change on the fluctuation amplitude can be seen only for the two-bladed wind turbine.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation of load fluctuation on horizontal axis wind turbine for extreme wind direction change

Sang

Murata

Morimoto

et al. 2017

JFST

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“…As measuring this value is a very complex and costly task, using estimation algorithms is a possible alternative. Different methods for load estimation have been proposed using a variety of mechanical sensor signals and anemometer wind speed measurements [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

Wideband estimation of the drive torque of a wind turbine using LiDAR measure-ments, blade element momentum theory and Kalman filtering

Ell¹,

Stubbe²,

Turschner³

et al. 2015

REPQQJ

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In this paper a method to estimate the drive torques from Light Detection and Ranging (LiDAR) measurements is proposed. Knowledge of these values brings many advantages for turbine control and especially active damping of mechanical oscillations.Primarly a simplified method to calculate the aerodynamic torque from wind speed measurements of a nacelle based LiDARsystem will be presented which bases on blade element momentum theory (BEM). Comparisons of results of the original and a simplified computation method show small deviations in the relevant working range of a wind turbine. Additionally a Kalman Filter is used to estimate the drive torques of the wind turbine.The method is tested in simulation using a model of a doubly fed induction generator (DFIG) wind turbine including a gearbox. Simulation results show good performance of the estimation.

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“…Different from the control of a small scale wind turbine, the problem of the structure fatigue load reduction cannot be neglected for the control of a large scale wind turbine. Among the factors which affect the performance of wind turbines, wind speed is the most important one and plays a key role in the load reduction control [1], [2], [3] and the optimal power output control [4], [5]. For the effective control of wind turbines, it would be desirable to measure two types of wind speeds: the single-point measured wind speed and the effective wind speed.…”

Section: Introductionmentioning

confidence: 99%

A Microtab based wind sensor

Liu

Song

Lin

2014

Proceeding of the 11th World Congress on Intelligent Control and Automation

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The rotor size of horizontal axis wind turbine has increased substantially and is getting bigger and bigger because of the cost-effective requirement. The bigger rotor size means the wind shear and turbulence would be more obvious. In such situations, only having the information of a hub height wind speed is not enough for the maximum power point tracking control and the load reduction control. The accurate information of wind speed is crucial in the large-scale wind turbine control and requires numerous wind sensors to be installed on the three wind turbine blades. The commonly used wind sensors such as pitot tube, hot-wire anemometer and sonic anemometer are usually expensive and thus not practically feasible by installing many wind sensors in a single wind turbine. Inspired by the microtab based smart blade (MBSB), a cost effective, microtab based wind sensor (MBWS) is proposed in this paper. We then discuss the design, structure and working principle of the new MBWS. Finally, using a finite element analysis, geometric features of the MBWS are determined. A novel method for the calculation of wind speed is given and its effectiveness is validated by three application cases, in which it is illustrated how wind speeds in multiple positions can be measured by installing more low-cost MBWS in three blades of a wind turbine.Keywords-Wind speed measurement, microtab based wind sensor, low cost, ice-free, effective wind speed

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Wind turbine extreme gust control

Cited by 53 publications

References 7 publications

Experimental investigation of load fluctuation on horizontal axis wind turbine for extreme wind direction change

Experimental investigation of load fluctuation on horizontal axis wind turbine for extreme wind direction change

Wideband estimation of the drive torque of a wind turbine using LiDAR measure-ments, blade element momentum theory and Kalman filtering

A Microtab based wind sensor

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